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All Journal Journal of Multidisciplinary Science: MIKAILALSYS Asian Journal of Science, Technology, Engineering, and Art ALSYSTECH Journal of Education Technology International Journal of Education, Culture, and Society Mikailalsys Journal of Mathematics and Statistics International Journal of Humanities, Education, and Social Sciences
Stephen, Mathew
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Religion Agriculture, Biological Sciences & Forestry Arts Humanities Chemical Engineering, Chemistry & Bioengineering Computer Science & IT Education Electrical & Electronics Engineering Engineering Environmental Science Languange, Linguistic, Communication & Media Materials Science & Nanotechnology Mathematics Mechanical Engineering Physics Social Sciences Other

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Journal : Mikailalsys Journal of Mathematics and Statistics

 1 
A Study on Alzhemier Disease in Takum, Taraba State, Nigeria: An ARIMA Model Approach Akobi, Clement; Idi, Danjuma; Michael, Ibrahim; Stephen, Mathew
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 1 (2025): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v3i1.4113

Abstract

Alzheimer’s disease, a progressive neurodegenerative disorder, represents a significant and growing public health burden, particularly as life expectancy increases worldwide. In sub-Saharan Africa, including Nigeria, the disease's prevalence is rising due to aging populations and urbanized lifestyles that elevate risk factors for cognitive decline. This study investigates the trends and projected incidence of Alzheimer’s disease in Takum, Taraba State, Nigeria. The research utilizes patient records from General Hospital Takum, spanning from 2012 to 2021. Following diagnostic tests and data transformations, the ARIMA(1,2,0) model was selected as the best fit for predicting future case counts. The findings reveal a steady increase in Alzheimer’s cases, consistent with global patterns, highlighting the need for proactive measures in healthcare planning. The study thus recommends the need for increased public awareness, investment in diagnostic infrastructure, and support systems for caregivers.
Statistical Estimation and Inference of Board Composition on Financial Performance of Oil and Gas Companies in Nigeria Idi, Danjuma; Stephen, Mathew
Mikailalsys Journal of Mathematics and Statistics Vol 2 No 3 (2024): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v2i3.3516

Abstract

This study examines the relationship between board characteristics and financial performance of listed oil and gas firms in Nigeria, highlighting the gap in existing literature on the topic. The purpose of this study is to investigate the impact of board independence, board size, and gender diversity on financial performance. A sample of three listed oil and gas firms on the Nigerian Exchange Group (NGX) was selected, and secondary data from annual financial statements for 2010-2021 were analyzed using panel regression and correlation analysis. The findings reveal that female board members have a positive and significant impact on financial performance, while board independence and board size have a positive but insignificant impact. The study concludes that gender diversity on boards is a key factor in driving financial success, and recommends increasing the number of female board members to improve financial performance. The results contribute to the understanding of the relationship between board characteristics and financial performance in the Nigerian oil and gas industry.
Effect of Money Supply on Stock Market Development in Nigeria (1985–2023) Stephen, Mathew; Akobi, Clement; Idi, Danjuma; Yusuf, Shadrach
Mikailalsys Journal of Mathematics and Statistics Vol 3 No 2 (2025): Mikailalsys Journal of Mathematics and Statistics
Publisher : Darul Yasin Al Sys

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.58578/mjms.v3i2.5883

Abstract

This study investigates the impact of money supply on stock market development in Nigeria over the period 1985 to 2023, with a focus on assessing the differential effects of monetary aggregates and policy rate dynamics. Using annual time-series data obtained from the Central Bank of Nigeria (CBN) Statistical Bulletin, the analysis models stock market development proxied by total annual market capitalization as a function of narrow money supply (M1), broad money supply (M2), and the monetary policy rate (MPR). Multiple regression analysis was employed to test the formulated hypotheses, with standard diagnostic tests confirming the validity of the model, including the absence of multicollinearity and the normal distribution of residuals. Results reveal a statistically significant negative relationship between the monetary policy rate and stock market development (p < 0.05), suggesting that higher interest rates hinder capital market performance. In contrast, neither M1 nor M2 exhibited statistically significant effects (p > 0.05), indicating a limited influence of money supply aggregates on stock market growth within the observed period. These findings imply that interest rate adjustments remain a critical monetary policy tool in shaping investor behavior and capital market performance. The study recommends that policymakers prioritize interest rate management within a coherent monetary policy framework to foster a conducive environment for capital market development and broader economic growth.
Co-Authors Adiele, Sunday Akobi, Clement Akobi, Clement Ogbeche BAMIGBALA, Olateju Alao Fadahunsi, John A. Idi, Danjuma Michael, Ibrahim Michael, Oshimagye Ibagye Ogunmola, Adeniyi Orume, A. K Reuben, Laraba Love Yusuf, Shadrach